Y
Yonas Alem
Researcher at University of Gothenburg
Publications - 45
Citations - 806
Yonas Alem is an academic researcher from University of Gothenburg. The author has contributed to research in topics: Panel data & Agriculture. The author has an hindex of 12, co-authored 42 publications receiving 545 citations. Previous affiliations of Yonas Alem include University of California, Berkeley.
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Modeling household cooking fuel choice: A panel multinomial logit approach
TL;DR: This paper used a rich panel data set to investigate the determinants of household cooking fuel choice and energy transition in urban Ethiopia and observed that the expected energy transition did not occur following economic growth in Ethiopia during the decade 20002009.
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Household-Level Consumption in Urban Ethiopia: The Effects of a Large Food Price Shock
TL;DR: In this paper, the authors used survey data to investigate how urban households in Ethiopia coped with the food price shock in 2008 and found that households with low asset levels, and casual workers, were particularly adversely affected by high food prices.
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Does fertilizer use respond to rainfall variability? Panel data evidence from Ethiopia
TL;DR: In this paper, the authors used plot and farm level panel data from the central Highlands of Ethiopia matched with corresponding village level rainfall data to assess if patterns of fertilizer use are responsive to changes in rainfall patterns.
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Modelling Household Cooking Fuel Choice: a Panel Multinomial Logit Approach
TL;DR: This article used a rich panel data set to investigate the determinants of household cooking fuel choice and energy transition in urban Ethiopia and observed that the expected energy transition did not occur following economic growth in Ethiopia during the decade 2000-2009.
Journal ArticleDOI
The persistence of energy poverty: A dynamic probit analysis
Yonas Alem,Eyoual Demeke +1 more
TL;DR: In this paper, the authors used a dynamic probit estimator on three rounds of panel data from urban Ethiopia to estimate a model of the probability of being energy poor and investigate the persistence of energy poverty.